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An introduction to statistics with Python : with applications in the life sciences

Author: Thomas Haslwanter
Publisher: Switzerland : Springer, 2016.
Series: Statistics and computing.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. Working code and data for Python solutions for each test, together with easy-to-follow Python examples, can be reproduced by the  Read more...
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Document Type: Book
All Authors / Contributors: Thomas Haslwanter
ISBN: 3319283154 9783319283159
OCLC Number: 930996701
Description: xvii, 278 pages : illustrations (some color) ; 25 cm.
Contents: Part I: Python and Statistics --
Why Statistics? --
Python --
Data Input --
Display of Statistical Data --
Part II: Distributions and Hypothesis Tests --
Background --
Distributions of One Variable --
Hypothesis Tests --
Tests of Means of Numerical Data --
Tests on Categorical Data --
Analysis of Survival Times --
Part III: Statistical Modelling --
Linear Regression Models --
Multivariate Data Analysis --
Tests on Discrete Data --
Bayesian Statistics --
Solutions --
Glossary --
Index.
Series Title: Statistics and computing.
Responsibility: Thomas Haslwanter.

Abstract:

This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well  Read more...

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"This book is a timely addition designed to bridge the gap between statisticians/computer scientists and experimentalists (biologists, physicists, medical doctors) by focussing on solutions to Read more...

 
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